jcjohnson/pytorch-examples resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

4906 stars · 920 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A collection of self-contained Python examples that introduce PyTorch fundamentals, from numpy baselines to tensors, autograd, nn modules, and custom modules. It teaches core concepts using a simple fully-connected ReLU network trained with gradient descent.

Use cases

• learn pytorch basics
• understand how autograd works
• examples of training a neural network in pytorch
• compare numpy and pytorch implementations
• learn to define custom autograd functions
• introduction to nn and optim modules

When to choose

• you are new to PyTorch and want minimal, self-contained examples
• you want to understand what happens under the hood of nn and optim
• you prefer learning by reading small scripts rather than large frameworks

When to avoid

• you need production-ready or up-to-date PyTorch 2.x patterns
• you want comprehensive tutorials on CNNs, RNNs, or transformers
• you need maintained course material with active support

Facets

learning-resource · maturity maintenance

machine-learning deep-learning deep-learning machine-learning tutorials python cross-platform pytorch tutorials examples neural-networks autograd education

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